Energy Deficit and Factors Associated with Energy Balance during a Combat Deployment in U.S. Army Special Operation Forces Soldiers.

Evan G Tryon, Nicholas D Barringer, Harris R Lieberman, William R Conkright
Author Information
  1. Evan G Tryon: Nutrition Care Division, Madigan Army Medical Center, Joint-Base Lewis McChord, WA 98433, USA.
  2. Nicholas D Barringer: Military Nutrition Division, U.S. Army Research Institute of Environmental Medicine, Natick, MA 01760, USA.
  3. Harris R Lieberman: Military Nutrition Division, U.S. Army Research Institute of Environmental Medicine, Natick, MA 01760, USA.
  4. William R Conkright: Nutrition Care Division, Madigan Army Medical Center, Joint-Base Lewis McChord, WA 98433, USA. ORCID

Abstract

The purpose of this study was to determine the difference between estimated energy expenditure (EE) and self-reported dietary intake (EI), and factors associated with energy balance in deployed U.S. Army Special Operations Forces (SOF) Soldiers.
METHODS: Forty-six SOF Soldiers (age: 30.1 ± 3.5 yrs, body mass index: 27.7 ± 4.1 kg/m) completed surveys on demographic data, mission activity characteristics, gastrointestinal issues, ration consumption, resilience, mood state, and dietary intake using a 127-question food frequency questionnaire at the end of a six-month deployment. EE was estimated using a SOF-specific prediction equation with a physical activity factor of 2.1. A paired -test compared reported energy intake (EI) with estimated energy expenditure (EE). Pearson correlations identified significant variables associated with energy balance, which were then incorporated into a multiple linear regression model. The regression analysis included Profile of Mood States (POMS) anger and POMS depression as predictor variables to determine their influence on energy balance.
RESULTS: Reported mean EI was 2512 ± 1059 kcal·d, while estimated mean EE was 5272 ± 525 kcal·d. The mean energy imbalance was -2854 kcal/d (95% CI: -2655 to -3055, < 0.001), with all participants in negative energy balance (range: -492 to -3813 kcal/d). POMS depression (r = 0.517, < 0.01) and POMS anger (r = 0.363, = 0.020) were associated with energy balance. The regression model was significant (R = 0.23, F (2, 38) = 7.02, < 0.01), with POMS depression significantly predicting energy balance (β = 50.76, = 0.011).
CONCLUSIONS: Deployed SOF Soldiers reported high EE and limited EI, which may negatively impact performance. Higher POMS depression scores were associated with lower energy deficits. Future studies should investigate the relationship between mood and energy balance, using direct measures of EI and EE.

Keywords

References

  1. Nutrients. 2014 May 12;6(5):1945-55 [PMID: 24824290]
  2. Appl Physiol Nutr Metab. 2013 Apr;38(4):396-400 [PMID: 23713532]
  3. Physiol Behav. 2019 Oct 15;210:112647 [PMID: 31401079]
  4. Brain Behav Immun. 2022 Mar;101:383-393 [PMID: 35131441]
  5. J Spec Oper Med. 2015 Winter;15(4):89-95 [PMID: 26630101]
  6. Nutrients. 2020 Mar 14;12(3): [PMID: 32183380]
  7. BMC Res Notes. 2012 Aug 13;5:434 [PMID: 22888983]
  8. Nutrients. 2023 Sep 12;15(18): [PMID: 37764730]
  9. Sports Med. 2018 Sep;48(9):2169-2178 [PMID: 29949108]
  10. PLoS One. 2012;7(10):e47771 [PMID: 23094083]
  11. Br J Nutr. 2017 Mar;117(6):897-910 [PMID: 28452292]
  12. Aliment Pharmacol Ther. 2013 Apr;37(8):799-809 [PMID: 23432460]
  13. Depress Anxiety. 2003;18(2):76-82 [PMID: 12964174]
  14. J Int Soc Sports Nutr. 2018 Apr 05;15:15 [PMID: 29632452]
  15. Front Nutr. 2020 Aug 25;7:142 [PMID: 32984399]
  16. Br J Nutr. 2014 Sep 14;112(5):821-9 [PMID: 25007417]
  17. J Strength Cond Res. 2018 Sep;32(9):2548-2554 [PMID: 29927894]
  18. Hum Factors. 2014 Sep;56(6):1113-23 [PMID: 25277020]
  19. Physiol Behav. 2016 Oct 15;165:86-97 [PMID: 27374427]
  20. Physiol Behav. 2023 Jan 1;258:114010 [PMID: 36349660]
  21. Epidemiology. 1990 Jan;1(1):58-64 [PMID: 2081241]
  22. Med Sci Sports Exerc. 2007 Aug;39(8):1380-7 [PMID: 17762372]
  23. J Am Coll Nutr. 2019 Feb;38(2):171-178 [PMID: 30398960]
  24. Biol Psychiatry. 2005 Feb 15;57(4):422-9 [PMID: 15705359]
  25. Clin Nutr ESPEN. 2023 Feb;53:33-42 [PMID: 36657928]
  26. J Appl Physiol (1985). 2008 Jul;105(1):58-64 [PMID: 18450989]
  27. Mil Med. 2017 Mar;182(3):e1659-e1668 [PMID: 28290940]
  28. Nutr J. 2010 Sep 15;9:37 [PMID: 20843361]
  29. Appetite. 2005 Feb;44(1):47-65 [PMID: 15604033]
  30. Nutr J. 2017 Jul 3;16(1):41 [PMID: 28673301]
  31. Med Sci Sports Exerc. 1998 May;30(5):746-9 [PMID: 9588618]

MeSH Term

Humans
Military Personnel
Energy Metabolism
Adult
Male
Energy Intake
United States
Female
Military Deployment
Depression
Affect
Self Report
Exercise
Body Mass Index
Surveys and Questionnaires
Young Adult

Word Cloud

Created with Highcharts 10.0.0energy0balance=EEPOMSintakeEIestimatedassociatedSoldiers±depressionexpendituredietarySOF1moodusingregressionmean<determineUSArmySpecialForces7activity2reportedsignificantvariablesmodelangerkcal·dkcal/dr01Energypurposestudydifferenceself-reportedfactorsdeployedOperationsMETHODS:Forty-sixage:3035yrsbodymassindex:274kg/mcompletedsurveysdemographicdatamissioncharacteristicsgastrointestinalissuesrationconsumptionresiliencestate127-questionfoodfrequencyquestionnaireendsix-monthdeploymentSOF-specificpredictionequationphysicalfactorpaired-testcomparedPearsoncorrelationsidentifiedincorporatedmultiplelinearanalysisincludedProfileMoodStatespredictorinfluenceRESULTS:Reported251210595272525imbalance-285495%CI:-2655-3055001participantsnegativerange:-492-3813517363020R23F3802significantlypredictingβ5076011CONCLUSIONS:DeployedhighlimitedmaynegativelyimpactperformanceHigherscoreslowerdeficitsFuturestudiesinvestigaterelationshipdirectmeasuresDeficitFactorsAssociatedBalanceCombatDeploymentOperationmilitarystates

Similar Articles

Cited By